Triple
T15204447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llano County |
E363353
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Llano |
E1143880
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Llano | Statement: [Llano County, countySeat, Llano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llano Context triple: [Llano County, countySeat, Llano]
-
A.
Llano
chosen
Llano is a small central Texas city known for its historic courthouse square, scenic location on the Llano River, and role as a gateway to the Texas Hill Country.
-
B.
Llano Blanco
Llano Blanco is a small settlement located within the municipality of El Rosario in Mexico.
-
C.
Madera
Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
-
D.
El Caney
El Caney is a village near Santiago de Cuba that was the site of a major and fiercely contested battle during the Spanish–American War.
-
E.
Claro Valley
Claro Valley is a subregion within Chile’s Maule Valley wine region, known for producing a range of quality wines influenced by its diverse microclimates and soils.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e9e2d8819086ca62ca6037dd1c |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:11 a.m.